high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

Parallel Hyperspectral Unmixing on GPUs

Jose M. P. Nascimento, Jose M. Bioucas-Dias, Jose M. Rodriguez Alves, Vitor Silva, Antonio Plaza

View

Download (PDF)

Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, OpenCL, Tesla C2050

October 2, 2013 by hgpu

Optimizing RDF stores by coupling General-purpose Graphics Processing Units and Central Processing Units

Bassem Makni

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia

October 1, 2013 by hgpu

Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

Dominik Szalkowski, Przemyslaw Stpiczynski

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, Package, Pseudo-random number generators, Tesla M2050

October 1, 2013 by hgpu

Approximate dynamic programming with post-decision states as a solution method for dynamic economic models

Isaiah Hull

View

Download (PDF)

Tags: Algorithms, CUDA, Finance, nVidia, nVidia GeForce GTX 560 Ti, Stochastic simulation

September 30, 2013 by hgpu

Adapting data processing methods to modern GPU architecture

Bartlomiej Szczepaniak

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro NVS 3100 M, Wavelet

September 29, 2013 by hgpu

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

M. Harper Langston, Muthu Baskaran, Benoit Meister, Nicolas Vasilache, Richard Lethin

View

Download (PDF)

Tags: Algorithms, CUDA, Fast multipole method, FFT, MPI, nVidia, Signal processing, Tesla M2070

September 29, 2013 by hgpu

A GPU Implementation of a Jacobi Method for Lattice Basis Reduction

Filip Jeremic, Sanzheng Qiao

View

Download (PDF)

Tags: Algorithms, CUDA, Mathematics, nVidia, nVidia GeForce GTX 660

September 28, 2013 by hgpu

From OpenCL to Gates: the FFT

Joao Andrade, Vitor Silva, Gabriel Falcao

View

Download (PDF)

Tags: Algorithms, Computer science, FFT, FPGA, nVidia, nVidia GeForce GTX 680, OpenCL

September 28, 2013 by hgpu

Performance Improvement of Optical Algorithms on Multicore Platforms

Ratnakar Madan

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Optics, Thesis

September 28, 2013 by hgpu

Clustering on GPU – A Brief Survey

V.Saveetha, S.Sophia, V.Anusha Sowbarnika

View

Download (PDF)

Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, Review

September 27, 2013 by hgpu

CUD@ASP: Experimenting with GPUs in ASP solving

Flavio Vella, Alessandro Dal Palu, Agostino Dovier, Andrea Formisano, Enrico Pontelli

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 520, nVidia GeForce GT 640, nVidia GeForce GTX 580

September 27, 2013 by hgpu

Java with Auto-Parallelization on Graphics Coprocessing Architecture

Guodong Han, Chenggang Zhang, King Tin Lam, Cho-Li Wang

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Java, nVidia, Performance, Tesla M2050

September 27, 2013 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Parallel Hyperspectral Unmixing on GPUs

Optimizing RDF stores by coupling General-purpose Graphics Processing Units and Central Processing Units

Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

Approximate dynamic programming with post-decision states as a solution method for dynamic economic models

Adapting data processing methods to modern GPU architecture

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

A GPU Implementation of a Jacobi Method for Lattice Basis Reduction

From OpenCL to Gates: the FFT

Performance Improvement of Optical Algorithms on Multicore Platforms

Clustering on GPU – A Brief Survey

CUD@ASP: Experimenting with GPUs in ASP solving

Java with Auto-Parallelization on Graphics Coprocessing Architecture

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

Most viewed papers (last 30 days)